洞察力的自组织:问题解决中的熵和幂律

Damian G. Stephen, J. Dixon
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引用次数: 63

摘要

解释突现结构仍然是所有认知科学领域的挑战,解决问题也不例外。顿悟的现代研究引起了人们对问题解决研究中涌现认知结构问题的关注。我们认为,对洞察力的解释超出了传统的认知科学方法在符号表征方面的范围。用一个开放的非线性动力系统来描述认知可能会更好。根据这个推理,洞察力就是新结构的自组织。自组织是动力系统理论中一个被充分研究的现象,它与熵和幂律行为的特定趋势有关。我们使用非线性动力学来捕捉熵和幂律行为的这些趋势,从而预测解决问题任务中新认知结构的自组织。未来对问题解决的探索将受益于考虑行动、认知和环境之间的连续非线性相互作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Self-Organization of Insight: Entropy and Power Laws in Problem Solving
Explaining emergent structure remains a challenge for all areas of cognitive science, and problem solving is no exception. The modern study of insight has drawn attention to the issue of emergent cognitive structure in problem solving research. We propose that the explanation of insight is beyond the scope of conventional approaches to cognitive science in terms of symbolic representation. Cognition may be better described in terms of an open, nonlinear dynamical system. By this reasoning, insight would be the self-organization of novel structure. Self-organization is a well-studied phenomenon of dynamical systems theory, associated with specific trends in entropy and power-law behavior. We present work using nonlinear dynamics to capture these trends in entropy and power-law behavior and thus to predict the self-organization of novel cognitive structure in a problem-solving task. Future explorations of problem solving will benefit from considerations of the continuous nonlinear interactions among action, cognition, and the environment.
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